Taught course

Statistics and Applied Probability

University of Nottingham · School of Mathematical Sciences

Entry requirements

A 2:2 (or international equivalent) in mathematics or a closely related subject with substantial mathematical content.

Months of entry


Course content

You will be introduced to the main principles in statistics. The masters will also provide you with specialised training in probability models. Many of our graduates work in roles across business and finance.

Core modules will provide you with an overall understanding of statistical and probability techniques. They will help you to develop your understanding of the topics covered in the remaining optional modules.

Apply the theory and techniques you have learnt by working on a research-based dissertation. You'll benefit from supervision from experts within the School of Mathematical Sciences.

On graduation, you will leave Nottingham with valuable skills in:

  • logical thinking
  • problem-solving
  • data analysis and manipulation

Our graduates work as business analysts and pricing model analysts across banking, finance, education and healthcare.

You will study core modules to teach you the fundamentals of statistics and probability. We will spend time discussing epidemic models and queuing models.

All students will have a range of optional modules to choose from. These cover topics in computational statistics, time series and forecasting. You will gain practical experience of using a statistical package and learn how to interpret the output.

You could develop your understanding about contemporary statistical machine learning methods and how they are used to tackle real-world challenges. Optional modules allow you to study areas of statistics and probability that you are personally interested in.

During the second semester, you will complete an in-depth research project. You will be supported by our academic staff and research groups.

Information for international students

Visit our international student pages for more information.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Postgraduate Enquiries